Gemini, developed by Google, is a multimodal model that can interact with text, images, audio, and code. It has the ability to answer questions about the contents of images, which is a significant capability in computer vision applications. However, its performance varies across different tasks, with successful results in Visual Question Answering and Document OCR, but less accurate outcomes in Optical Character Recognition and Object Detection.
Key takeaways:
- Google announced a new Large Multimodal Model (LMM) called Gemini on December 6th, 2023, which works across text, images, and audio. An API for Gemini was released on December 13th, allowing integration into applications.
- Gemini has three versions: Ultra, Pro, and Nano, designed for different purposes. However, the Ultra model is currently unavailable.
- The Roboflow team evaluated Gemini across four separate vision tasks: Visual Question Answering (VQA), Optical Character Recognition (OCR), Document OCR, and Object Detection. The model performed well in some tasks but struggled in others, such as OCR.
- Gemini can be run using the Google Cloud Vertex AI Multimodal playground, and requests can be sent to the Gemini API by providing a multimodal prompt over HTTP.